Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries
Karmani, Priyanka, Chandio, Aftab Ahmed, Korejo, Imtiaz Ali, Samuel, Oluwarotimi Williams, Aborokbah, Majed
Published in PeerJ. Computer science (16.10.2024)
Published in PeerJ. Computer science (16.10.2024)
Get full text
Journal Article
Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks
Rankovic, Nevena, Rankovic, Dragica, Lukic, Igor, Savic, Nikola, Jovanovic, Verica
Published in Journal of personalized medicine (22.06.2023)
Published in Journal of personalized medicine (22.06.2023)
Get full text
Journal Article
Identification of different manifestations of nonlinear stick–slip phenomena during creep groan braking noise by using the unsupervised learning algorithms k-means and self-organizing map
Prezelj, Jurij, Murovec, Jure, Huemer-Kals, Severin, Häsler, Karl, Fischer, Peter
Published in Mechanical systems and signal processing (01.03.2022)
Published in Mechanical systems and signal processing (01.03.2022)
Get full text
Journal Article
mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients
De Brouwer, Mathias, Vandenbussche, Nicolas, Steenwinckel, Bram, Stojchevska, Marija, Van Der Donckt, Jonas, Degraeve, Vic, Vaneessen, Jasper, De Turck, Filip, Volckaert, Bruno, Boon, Paul, Paemeleire, Koen, Van Hoecke, Sofie, Ongenae, Femke
Published in BMC medical informatics and decision making (31.03.2022)
Published in BMC medical informatics and decision making (31.03.2022)
Get full text
Journal Article
Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature
Triantafyllidis, Andreas, Polychronidou, Eleftheria, Alexiadis, Anastasios, Rocha, Cleilton Lima, Oliveira, Douglas Nogueira, da Silva, Amanda S., Freire, Ananda Lima, Macedo, Crislanio, Sousa, Igor Farias, Werbet, Eriko, Lillo, Elena Arredondo, Luengo, Henar González, Ellacuría, Macarena Torrego, Votis, Konstantinos, Tzovaras, Dimitrios
Published in Artificial intelligence in medicine (01.04.2020)
Published in Artificial intelligence in medicine (01.04.2020)
Get full text
Journal Article
Medical diagnosis applications using a novel interactively recurrent self-evolving fuzzy CMAC model
Jyun-Guo Wang, Shen-Chuan Tai, Cheng-Jian Lin
Published in 2014 International Joint Conference on Neural Networks (IJCNN) (01.07.2014)
Published in 2014 International Joint Conference on Neural Networks (IJCNN) (01.07.2014)
Get full text
Conference Proceeding
Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review
Ciharova, Marketa, Amarti, Khadicha, van Breda, Ward, Peng, Xianhua, Lorente-Català, Rosa, Funk, Burkhardt, Hoogendoorn, Mark, Koutsouleris, Nikolaos, Fusar-Poli, Paolo, Karyotaki, Eirini, Cuijpers, Pim, Riper, Heleen
Published in Biological psychiatry (1969) (01.10.2024)
Published in Biological psychiatry (1969) (01.10.2024)
Get full text
Journal Article
Self-similarity weighted mutual information: A new nonrigid image registration metric
Rivaz, Hassan, Karimaghaloo, Zahra, Collins, D. Louis
Published in Medical image analysis (01.02.2014)
Published in Medical image analysis (01.02.2014)
Get full text
Journal Article
Data-driven bearing fault identification using improved hidden Markov model and self-organizing map
Li, Zefang, Fang, Huajing, Huang, Ming, Wei, Ying, Zhang, Linlan
Published in Computers & industrial engineering (01.02.2018)
Published in Computers & industrial engineering (01.02.2018)
Get full text
Journal Article
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency
Benito, Guillermo Villanueva, Goldberg, Ximena, Brachowicz, Nicolai, Castaño-Vinyals, Gemma, Blay, Natalia, Espinosa, Ana, Davidhi, Flavia, Torres, Diego, Kogevinas, Manolis, de Cid, Rafael, Petrone, Paula
Published in Artificial intelligence in medicine (01.11.2024)
Published in Artificial intelligence in medicine (01.11.2024)
Get full text
Journal Article
Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM)
Dipnall, J.F., Pasco, J.A., Berk, M., Williams, L.J., Dodd, S., Jacka, F.N., Meyer, D.
Published in European psychiatry (01.01.2017)
Published in European psychiatry (01.01.2017)
Get full text
Journal Article
A novel kernel method for clustering
Camastra, F., Verri, A.
Published in IEEE transactions on pattern analysis and machine intelligence (01.05.2005)
Published in IEEE transactions on pattern analysis and machine intelligence (01.05.2005)
Get full text
Journal Article